The graph represents a network of 11,237 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 September 2022 at 08:07 UTC.
The requested start date was Sunday, 04 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 4-minute period from Wednesday, 31 August 2022 at 12:15 UTC to Friday, 02 September 2022 at 12:19 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 11237
Unique Edges : 6695
Edges With Duplicates : 11777
Total Edges : 18472
Number of Edge Types : 5
Retweet : 5199
MentionsInRetweet : 6156
Tweet : 2739
Replies to : 1414
Mentions : 2964
Self-Loops : 2779
Reciprocated Vertex Pair Ratio : 0.00717139637332241
Reciprocated Edge Ratio : 0.014240667276981
Connected Components : 2831
Single-Vertex Connected Components : 831
Maximum Vertices in a Connected Component : 2779
Maximum Edges in a Connected Component : 5805
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 11.341082
Graph Density : 7.7863798182611E-05
Modularity : 0.585414
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 11,237 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 September 2022 at 08:07 UTC.
The requested start date was Sunday, 04 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 4-minute period from Wednesday, 31 August 2022 at 12:15 UTC to Friday, 02 September 2022 at 12:19 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : COVID
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1651] covid,19 [286] long,covid [172] manuelrico,hoy [165] covid,vaccine [160] nih,website [155] treating,covid [152] covid,years [151] suddenly,ivermectin [151] ivermectin,shows [151] shows,nih Top Word Pairs in Tweet in G1:
[236] covid,19 [23] covid,lockdown [20] china,places [20] places,millions [20] millions,covid [20] lockdown,again [20] again,economy [20] economy,continues [20] continues,struggle [14] during,covid Top Word Pairs in Tweet in G2:
[22] covid,isolation [21] go,back [20] covid,19 [18] dr,moore [17] seeing,people [17] people,saying [17] saying,ontario [17] ontario,gone [17] gone,full [17] full,florida Top Word Pairs in Tweet in G3:
[148] treating,covid [146] suddenly,ivermectin [146] ivermectin,shows [146] shows,nih [146] nih,website [146] website,treating [146] covid,years [146] years,denial [146] denial,blocking [146] blocking,interference Top Word Pairs in Tweet in G4:
[10] fooled,many [10] many,including [10] including,alexberenson [10] alexberenson,never [10] never,treated [10] treated,single [10] single,covid [10] covid,patient [10] patient,pretty [10] pretty,strong Top Word Pairs in Tweet in G5:
[199] covid,19 [78] métodos,preventivos [78] preventivos,efectivos [78] efectivos,evitar [73] vtvcanal8,#prevención [59] #prevención,uso [59] uso,adecuado [59] adecuado,mascarilla [59] mascarilla,indica [59] indica,métodos Top Word Pairs in Tweet in G6:
[34] long,covid [19] covid,19 [8] covid,damage [8] damage,body [8] body,blood [8] blood,brain [8] brain,going [8] going,disaster [8] disaster,take [8] take,time Top Word Pairs in Tweet in G7:
[27] covid,ils [26] tiens,tiens [26] tiens,soudain [26] soudain,l'ivermectine [26] l'ivermectine,apparaît [26] apparaît,site [26] site,web [26] web,nih [26] nih,traiter [26] traiter,covid Top Word Pairs in Tweet in G8:
[25] school,daughter [25] daughter,still [25] still,covid [25] covid,positive [23] friend's,middle [23] middle,school [23] positive,10 [23] 10,days [23] days,school [23] school,told Top Word Pairs in Tweet in G9:
[18] रत,क [18] र,क [18] ह,प [16] covid,19 [12] under,leadership [11] hon,pm [11] क,व [11] व,ड [11] क,ल [11] ज,स Top Word Pairs in Tweet in G10:
[57] yesterday,national [57] national,institute [57] institute,health [57] health,added [57] added,ivermectin [57] ivermectin,list [57] list,covid [57] covid,treatment [57] treatment,looks [57] looks,conspiracy Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: